{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"http://hilpisch.com/tpq_logo.png\" alt=\"The Python Quants\" width=\"35%\" align=\"right\" border=\"0\"><br><br><br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Listed Volatility and Variance Derivatives\n",
    "\n",
    "**Dr. Yves J. Hilpisch &mdash; Wiley Finance (2016)**\n",
    "\n",
    "<img src=\"http://hilpisch.com/images/lvvd_cover.png\" alt=\"Derivatives Analytics with Python\" width=\"30%\" align=\"left\" border=\"0\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# DX Analytics &mdash; An Overview"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You need to install DX Analytics. See http://dx-analytics.com."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Modeling Risk Factors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import warnings; warnings.simplefilter('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import dx\n",
    "import numpy as np\n",
    "np.random.seed(1000)\n",
    "import pandas as pd\n",
    "import datetime as dt\n",
    "import seaborn as sns; sns.set()\n",
    "import matplotlib as mpl; \n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "r = dx.constant_short_rate('r', 0.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## instantiation of market environment object\n",
    "me_1 = dx.market_environment('me', dt.datetime(2016, 1, 1))\n",
    "## starting value of simulated processes\n",
    "me_1.add_constant('initial_value', 100.)\n",
    "## volatiltiy factor\n",
    "me_1.add_constant('volatility', 0.2)\n",
    "## horizon for simulation\n",
    "me_1.add_constant('final_date', dt.datetime(2016, 6, 30))\n",
    "## currency of instrument\n",
    "me_1.add_constant('currency', 'EUR')\n",
    "## frequency for discretization (here: weekly)\n",
    "me_1.add_constant('frequency', 'W')\n",
    "## number of paths\n",
    "me_1.add_constant('paths', 25000)\n",
    "## short rate model for discount curve\n",
    "me_1.add_curve('discount_curve', r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<dx.dx_models.geometric_brownian_motion at 0x11702ed50>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gbm_1 = dx.geometric_brownian_motion('gbm_1', me_1)\n",
    "gbm_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 100.        ,  100.        ,  100.        , ...,  100.        ,\n",
       "         100.        ,  100.        ],\n",
       "       [ 103.99970675,  100.94138063,  101.87289049, ...,  101.57080458,\n",
       "         100.82390334,   98.15531921],\n",
       "       [ 101.93603717,   94.66240389,   91.81649108, ...,  101.20745936,\n",
       "          99.98530091,  102.49930045],\n",
       "       ..., \n",
       "       [  94.34847745,  111.87828236,  105.88943893, ...,   89.84492969,\n",
       "         109.03063645,  107.8625328 ],\n",
       "       [  91.01721535,  113.83465258,  102.59432299, ...,   92.09515398,\n",
       "         104.17599152,  101.67756176],\n",
       "       [  90.56511589,  113.20730366,  100.79160449, ...,   90.91965416,\n",
       "         100.6385713 ,  101.76583508]])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gbm_1.get_instrument_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([datetime.datetime(2016, 1, 1, 0, 0),\n",
       "       datetime.datetime(2016, 1, 3, 0, 0),\n",
       "       datetime.datetime(2016, 1, 10, 0, 0),\n",
       "       datetime.datetime(2016, 1, 17, 0, 0),\n",
       "       datetime.datetime(2016, 1, 24, 0, 0),\n",
       "       datetime.datetime(2016, 1, 31, 0, 0),\n",
       "       datetime.datetime(2016, 2, 7, 0, 0),\n",
       "       datetime.datetime(2016, 2, 14, 0, 0),\n",
       "       datetime.datetime(2016, 2, 21, 0, 0),\n",
       "       datetime.datetime(2016, 2, 28, 0, 0)], dtype=object)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gbm_1.time_grid[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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rGl9qKD9rGANY43ESzeTY2h/iV6f6+e6SRTOeX6fmUgS7niMVbcdgduNtfBijZX5WdJqL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OlqrvUUqNBh4EdgClwG+11uXOlqr/UEp9GbgNWA08pLX+2OEi9Wn28f5zYDvwnNR3dEl72rP1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\nIYQQDpOATAghhBDCYf8PaWvqopYOoQMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117042e50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pdf_1 = pd.DataFrame(gbm_1.get_instrument_values(), index=gbm_1.time_grid)\n",
    "pdf_1.ix[:, :10].plot(legend=False, figsize=(10, 6));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## instantiate new market environment object\n",
    "me_2 = dx.market_environment('me_2', me_1.pricing_date)\n",
    "## add complete environment\n",
    "me_2.add_environment(me_1)\n",
    "## overwrite volatility value\n",
    "me_2.add_constant('volatility', 0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "gbm_2 = dx.geometric_brownian_motion('gbm_2', me_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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OgFdkNKk/2Jd9GWZ/NpvtgtVqnQzsIJA9DsxEMiYIgpDrdN9vwvjtUqhbF/cTT4c6nHSp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uigcuV747wTApKTybVoUIk/DxcuGrhwQSUhwVux/Cof05qfKcYVIrhKAVIAmNxuCRnN2uUUXciK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\nlC8vvSdt2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yMin9t+q+11XS6+bt5USEqS4fK4OC8Au30hDrIwoUIFjYoVdYZse4JQPxsM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\neN1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5Pq54/BiWr6aQ9vJrhdKDT3f4EIHKVfJVjiE/ZDvPaWmq1SEXLj/j98uwzJ5Oyqz5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\nnHMR84DMOeeccy5i/w+3X3t8GOvJvQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11af8a890>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pdf_2 = pd.DataFrame(gbm_2.get_instrument_values(), index=gbm_2.time_grid)\n",
    "ax = pdf_1.ix[:, :10].plot(legend=False, figsize=(10, 6), style=11 * ['b-']);\n",
    "pdf_2.ix[:, :10].plot(legend=False, style=11 * ['r--'], ax=ax);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Modeling Derivatives"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "## instantiation of market environment object for option\n",
    "me_opt = dx.market_environment('me_opt', me_1.pricing_date)\n",
    "## add complete market environment\n",
    "me_opt.add_environment(me_1)\n",
    "## add maturity date for option\n",
    "me_opt.add_constant('maturity', dt.datetime(2016, 6, 30))\n",
    "## add strike for option\n",
    "me_opt.add_constant('strike', 110.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "am_put = dx.valuation_mcs_american_single(\n",
    "            name='am_put',  # name of the option as string\n",
    "            underlying=gbm_1,  # the risk factor object\n",
    "            mar_env=me_opt,  # the market environment\n",
    "            payoff_func='np.maximum(strike - instrument_values, 0)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11.799"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "am_put.present_value()  # Monte Carlo estimator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.6809"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "am_put.delta()  # delta of the option"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0149"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "am_put.gamma()  # gamma of the option"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "74.5"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "0.5 * am_put.gamma() * am_put.underlying.initial_value ** 2  # dollar gamma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "23.8208"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "am_put.vega()  # vega of the option"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-3.81"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "am_put.theta()  # theta of the option "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-30.113"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "am_put.rho()  # rho of the option"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "eur_call = dx.valuation_mcs_european_single(\n",
    "            name='eur_call',\n",
    "            underlying=gbm_2,\n",
    "            mar_env=me_opt,\n",
    "            payoff_func='np.maximum(maturity_value - strike, 0)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10.364663"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eur_call.present_value()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.4174"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eur_call.delta()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0121"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eur_call.gamma()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "60.5"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "0.5 * eur_call.gamma() * eur_call.underlying.initial_value ** 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "27.6147"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eur_call.vega()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-14.1996"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eur_call.theta()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18.0684"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eur_call.rho()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "k_list = np.arange(80., 120.5, 2.5)\n",
    "pv = []; de = []; ve = []; th = []; rh = []; ga = []\n",
    "for k in k_list:\n",
    "    eur_call.update(strike=k)\n",
    "    pv.append(eur_call.present_value())\n",
    "    de.append(eur_call.delta())\n",
    "    ve.append(eur_call.vega())\n",
    "    th.append(eur_call.theta())\n",
    "    rh.append(eur_call.rho())\n",
    "    ga.append(eur_call.gamma())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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xJQza2mDHDti+Pbpt29b+ex/btwcwpuNL5ubCuHHuVlAQ/Xrc2hcZ9+P7KWA3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18CtwJHAL8wxvwSd8TrTGttRYyOJ0nEcWDpUi+FhQFeeMHP9u3uYhXdu4eZMqWK88+v4thjw3h0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\nZ50AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11afa64d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dx.plot_option_stats_full(k_list, pv, de, ga, ve, th, rh)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Derivatives Portfolios"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Modeling Portfolios"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "me_1.add_constant('model', 'gbm')\n",
    "me_2.add_constant('model', 'gbm')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "put = dx.derivatives_position(\n",
    "    name='put',  # name as string\n",
    "    quantity=2,  # number of options in the portfolio\n",
    "    underlyings=['gbm_1'],  # the underlying(s) as list object\n",
    "    mar_env=me_opt,  # the market environment object\n",
    "    otype='American single',  # the option type\n",
    "    payoff_func='np.maximum(strike - instrument_values, 0)')  # the payoff\n",
    "\n",
    "call = dx.derivatives_position(\n",
    "    name='call',\n",
    "    quantity=3,\n",
    "    underlyings=['gbm_2'],\n",
    "    mar_env=me_opt,\n",
    "    otype='European single',\n",
    "    payoff_func='np.maximum(maturity_value - strike, 0)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "risk_factors = {'gbm_1': me_1, 'gbm_2' : me_2}  # as dictionary\n",
    "correlations = [['gbm_1', 'gbm_2', -0.4]]  # as list\n",
    "positions = {'put' : put, 'call' : call}  # as dictionary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "val_env = dx.market_environment('general', dt.datetime(2016, 1, 1))\n",
    "val_env.add_constant('frequency', 'W')\n",
    "val_env.add_constant('paths', 25000)\n",
    "val_env.add_constant('starting_date', val_env.pricing_date)\n",
    "val_env.add_constant('final_date', val_env.pricing_date)\n",
    "val_env.add_curve('discount_curve', r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "port = dx.derivatives_portfolio(\n",
    "        name='portfolio',  # name as string\n",
    "        positions=positions,  # derivatives positions\n",
    "        val_env=val_env,  # valuation environment\n",
    "        risk_factors=risk_factors, # relevant risk factors\n",
    "        correlations=correlations,  # correlation between risk factors\n",
    "        parallel=False)  # parallel valuation True/False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Simulation and Valuation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total\n",
      "pos_value    54.103966\n",
      "dtype: float64\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>position</th>\n",
       "      <th>name</th>\n",
       "      <th>quantity</th>\n",
       "      <th>otype</th>\n",
       "      <th>risk_facts</th>\n",
       "      <th>value</th>\n",
       "      <th>currency</th>\n",
       "      <th>pos_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>put</td>\n",
       "      <td>put</td>\n",
       "      <td>2</td>\n",
       "      <td>American single</td>\n",
       "      <td>[gbm_1]</td>\n",
       "      <td>11.804000</td>\n",
       "      <td>EUR</td>\n",
       "      <td>23.608000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>call</td>\n",
       "      <td>call</td>\n",
       "      <td>3</td>\n",
       "      <td>European single</td>\n",
       "      <td>[gbm_2]</td>\n",
       "      <td>10.165322</td>\n",
       "      <td>EUR</td>\n",
       "      <td>30.495966</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  position  name  quantity            otype risk_facts      value currency  \\\n",
       "0      put   put         2  American single    [gbm_1]  11.804000      EUR   \n",
       "1     call  call         3  European single    [gbm_2]  10.165322      EUR   \n",
       "\n",
       "   pos_value  \n",
       "0  23.608000  \n",
       "1  30.495966  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "port.get_values()  # get all present values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Totals\n",
      "pos_value     54.1030\n",
      "pos_delta      0.0082\n",
      "pos_vega     130.9992\n",
      "dtype: float64\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>position</th>\n",
       "      <th>name</th>\n",
       "      <th>quantity</th>\n",
       "      <th>otype</th>\n",
       "      <th>risk_facts</th>\n",
       "      <th>value</th>\n",
       "      <th>currency</th>\n",
       "      <th>pos_value</th>\n",
       "      <th>pos_delta</th>\n",
       "      <th>pos_vega</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>put</td>\n",
       "      <td>put</td>\n",
       "      <td>2</td>\n",
       "      <td>American single</td>\n",
       "      <td>[gbm_1]</td>\n",
       "      <td>11.804</td>\n",
       "      <td>EUR</td>\n",
       "      <td>23.608</td>\n",
       "      <td>-1.4192</td>\n",
       "      <td>48.7344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>call</td>\n",
       "      <td>call</td>\n",
       "      <td>3</td>\n",
       "      <td>European single</td>\n",
       "      <td>[gbm_2]</td>\n",
       "      <td>10.165</td>\n",
       "      <td>EUR</td>\n",
       "      <td>30.495</td>\n",
       "      <td>1.4274</td>\n",
       "      <td>82.2648</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  position  name  quantity            otype risk_facts   value currency  \\\n",
       "0      put   put         2  American single    [gbm_1]  11.804      EUR   \n",
       "1     call  call         3  European single    [gbm_2]  10.165      EUR   \n",
       "\n",
       "   pos_value  pos_delta  pos_vega  \n",
       "0     23.608    -1.4192   48.7344  \n",
       "1     30.495     1.4274   82.2648  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "port.get_statistics()  # get major statistics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Risk Reports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gbm_1\n",
      "0.8 0.9 1.0 1.1 1.2 \n",
      "gbm_2\n",
      "0.8 0.9 1.0 1.1 1.2 \n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "deltas, benchvalue = port.get_port_risk(Greek='Delta')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "54.103966"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "benchvalue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<class 'pandas.core.panel.Panel'>\n",
       "Dimensions: 2 (items) x 5 (major_axis) x 2 (minor_axis)\n",
       "Items axis: gbm_1_Delta to gbm_2_Delta\n",
       "Major_axis axis: 0.8 to 1.2\n",
       "Minor_axis axis: factor to value"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deltas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gbm_1_Delta\n",
      "          0.8    0.9    1.0     1.1     1.2\n",
      "factor  80.00  90.00  100.0  110.00  120.00\n",
      "value   90.51  70.89   54.1   42.19   35.37\n",
      "\n",
      "gbm_2_Delta\n",
      "          0.8    0.9    1.0     1.1     1.2\n",
      "factor  80.00  90.00  100.0  110.00  120.00\n",
      "value   33.28  41.94   54.1   69.74   88.39\n"
     ]
    }
   ],
   "source": [
    "dx.risk_report(deltas)  # gives the resulting values ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     gbm_1_Delta  gbm_2_Delta\n",
      "0.8        36.41       -20.83\n",
      "0.9        16.79       -12.16\n",
      "1.0         0.00         0.00\n",
      "1.1       -11.92        15.63\n",
      "1.2       -18.74        34.28\n"
     ]
    }
   ],
   "source": [
    "dx.risk_report(deltas.ix[:, :, 'value'] - benchvalue,\n",
    "               gross=False)  # ... as net changes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gbm_1\n",
      "0.8 0.85 0.9 0.95 1.0 1.05 1.1 1.15 1.2 \n",
      "gbm_2\n",
      "0.8 0.85 0.9 0.95 1.0 1.05 1.1 1.15 1.2 \n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "vegas, benchvalue = port.get_port_risk(Greek='Vega', step=0.05)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gbm_1_Vega\n",
      "         0.80   0.85   0.90   0.95  1.00   1.05   1.10   1.15   1.20\n",
      "factor   0.16   0.17   0.18   0.19   0.2   0.21   0.22   0.23   0.24\n",
      "value   52.40  52.85  53.20  53.64  54.1  54.59  55.05  55.52  56.01\n",
      "\n",
      "gbm_2_Vega\n",
      "         0.80   0.85   0.90   0.95  1.00   1.05   1.10   1.15   1.20\n",
      "factor   0.40   0.43   0.45   0.48   0.5   0.53   0.55   0.58   0.60\n",
      "value   45.92  47.95  50.00  52.05  54.1  56.16  58.22  60.28  62.34\n"
     ]
    }
   ],
   "source": [
    "dx.risk_report(vegas)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      gbm_1_Vega  gbm_2_Vega\n",
      "0.80       -1.70       -8.19\n",
      "0.85       -1.26       -6.15\n",
      "0.90       -0.91       -4.11\n",
      "0.95       -0.47       -2.05\n",
      "1.00        0.00        0.00\n",
      "1.05        0.49        2.06\n",
      "1.10        0.95        4.12\n",
      "1.15        1.41        6.18\n",
      "1.20        1.90        8.24\n"
     ]
    }
   ],
   "source": [
    "dx.risk_report(vegas.ix[:, :, 'value'] - benchvalue, gross=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"http://hilpisch.com/tpq_logo.png\" alt=\"The Python Quants\" width=\"35%\" align=\"right\" border=\"0\"><br>\n",
    "\n",
    "<a href=\"http://tpq.io\" target=\"_blank\">http://tpq.io</a> | <a href=\"http://twitter.com/dyjh\" target=\"_blank\">@dyjh</a> | <a href=\"mailto:team@tpq.io\">team@tpq.io</a>\n",
    "\n",
    "**DX Analytics** |\n",
    "<a href=\"http://dx-analytics.com\">http://dx-analytics.com</a>\n",
    "\n",
    "**Quant Platform** |\n",
    "<a href=\"http://quant-platform.com\">http://quant-platform.com</a>\n",
    "\n",
    "**Python for Finance Books** |\n",
    "<a href=\"http://books.tpq.io\" target=\"_blank\">http://books.tpq.io</a>\n",
    "\n",
    "**Python for Finance Training** |\n",
    "<a href=\"http://training.tpq.io\" target=\"_blank\">http://training.tpq.io</a>"
   ]
  }
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